Evidence map›Paper›PMID 38711149›Full record

ArticleJournal of orthopaedic surgery and research2024

Effects of various load magnitudes on ACL: an in vitro study using adolescent porcine stifle joints.

Jason Koh, Nirav Mungalpara, Sunjung Kim, Asheesh Bedi, Mark Hutchinson, Farid Amirouche

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Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Jason KohInstitute of Orthopaedics and Spine, Department of Orthopaedic Surgery, Northshore University HealthSystem, 9669 Kenton Avenue, Suite 305, Skokie, IL, 60076, USA.
Nirav MungalparaDepartment of Orthopaedic Surgery, University of Illinois Chicago, Chicago, IL, USA.
Sunjung KimDepartment of Orthopaedic Surgery, University of Illinois Chicago, Chicago, IL, USA.
Asheesh BediInstitute of Orthopaedics and Spine, Department of Orthopaedic Surgery, Northshore University HealthSystem, 9669 Kenton Avenue, Suite 305, Skokie, IL, 60076, USA.
Mark HutchinsonDepartment of Orthopaedic Surgery, University of Illinois Chicago, Chicago, IL, USA.
Farid AmiroucheInstitute of Orthopaedics and Spine, Department of Orthopaedic Surgery, Northshore University HealthSystem, 9669 Kenton Avenue, Suite 305, Skokie, IL, 60076, USA. amirouch@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe escalating incidence of anterior cruciate ligament (ACL) injuries, particularly among adolescents, is a pressing concern. The study of ACL biomechanics in this demographic presents challenges due to the scarcity of cadaveric specimens. This research endeavors to validate the adolescent porcine stifle joint as a fitting model for ACL studies.

methodsWe conducted experiments on 30 fresh porcine stifle knee joints. (Breed: Yorkshire, Weight: avg 90 lbs, Age Range: 2-4 months). They were stored at - 22 °C and a subsequent 24-h thaw at room temperature before being prepared for the experiment. These joints were randomly assigned to three groups. The first group served as a control and underwent only the load-to-failure test. The remaining two groups were subjected to 100 cycles, with forces of 300N and 520N, respectively. The load values of 300N and 520N correspond to three and five times the body weight (BW) of our juvenile porcine, respectively.

resultThe 520N force demonstrated a higher strain than the 300N, indicating a direct correlation between ACL strain and augmented loads. A significant difference in load-to-failure (p = 0.014) was observed between non-cyclically loaded ACLs and those subjected to 100 cycles at 520N. Three of the ten samples in the 520N group failed before completing 100 cycles. The ruptured ACLs from these tests closely resembled adolescent ACL injuries in detachment patterns. ACL stiffness was also measured post-cyclical loading by applying force and pulling the ACL at a rate of 1 mm per sec. Moreover, ACL stiffness measurements decreased from 152.46 N/mm in the control group to 129.42 N/mm after 100 cycles at 300N and a more significant drop to 86.90 N/mm after 100 cycles at 520N. A one-way analysis of variance (ANOVA) and t-test were chosen for statistical analysis.

conclusionsThe porcine stifle joint is an appropriate model for understanding ACL biomechanics in the skeletally immature demographic. The results emphasize the ligament's susceptibility to injury under high-impact loads pertinent to sports activities. The study advocates for further research into different loading scenarios and the protective role of muscle co-activation in ACL injury prevention.

Indexed as

Anterior Cruciate LigamentStifleWeight-BearingAnimalsAnterior Cruciate Ligament InjuriesBiomechanical PhenomenaIn Vitro TechniquesStress, MechanicalSwineACL stiffnessLoad-to-failurePorcine ACLStrain of ACL

Identifiers

PMID38711149
PMCPMC11071243

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.